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What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

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Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Model the data25-30%- Create model calculations
  • 1. Implement aggregation and time intelligence
    • 2. Use CALCULATE and filter context
      • 3. Use DAX: calculated columns, calculated tables, measures
        - Design data models
        • 1. Create relationships: cardinality, cross-filter direction, security
          • 2. Create common date tables
            • 3. Define tables, columns, and hierarchies
              • 4. Implement role-playing dimensions
                - Optimize model performance
                • 1. Reduce cardinality and data size
                  • 2. Use aggregations and composite models
                    • 3. Optimize relationships and calculations
                      Manage and secure Power BI15-20%- Deploy and distribute content
                      • 1. Share reports, dashboards, and apps
                        • 2. Monitor usage and performance
                          • 3. Embed content in applications or websites
                            - Manage workspaces and assets
                            • 1. Manage data refresh and scheduled updates
                              • 2. Create and configure workspaces
                                • 3. Publish, update, and organize reports/datasets
                                  - Implement security and governance
                                  • 1. Configure row-level security (RLS) and object-level security
                                    • 2. Manage permissions and access
                                      • 3. Apply data sensitivity labels and protection
                                        Visualize and analyze data25-30%- Perform data analysis
                                        • 1. Interpret results and identify trends
                                          • 2. Create and manage bookmarks and tooltips
                                            • 3. Implement custom visuals and R/Python scripts
                                              - Create reports and dashboards
                                              • 1. Design report layout, formatting, and interactivity
                                                • 2. Create dashboards and pinned elements
                                                  • 3. Choose appropriate visualizations
                                                    • 4. Apply filters, slicers, and drill-through
                                                      - Enhance reports with analytics
                                                      • 1. Create paginated reports
                                                        • 2. Apply conditional formatting and custom visuals
                                                          • 3. Use AI visuals, forecasts, and key influencers
                                                            Prepare the data25-30%- Get or connect to data
                                                            • 1. Configure data source settings, credentials, and privacy levels
                                                              • 2. Create and modify parameters
                                                                • 3. Identify and connect to data sources or shared semantic models
                                                                  • 4. Choose storage modes: Import, DirectQuery, DirectLake
                                                                    - Load and configure data
                                                                    • 1. Define table structures and properties
                                                                      • 2. Configure data refresh settings
                                                                        • 3. Integrate data from multiple sources
                                                                          - Profile and clean data
                                                                          • 1. Evaluate data statistics and column properties
                                                                            • 2. Transform data using Power Query Editor
                                                                              • 3. Resolve inconsistencies, null values, and errors
                                                                                • 4. Manage data types, columns, and rows
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